Fuzzy inventory with backorder defuzzification by signed distance method

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Title:	Fuzzy inventory with backorder defuzzification by signed distance method
Authors:	Chiang, J.S.;Yao, J.S.;Lee, H.M.
Contributors:	應用數學系
Date:	2005
Issue Date:	2009-10-30 15:19:36 (UTC+8)
Abstract:	In this paper, we consider fuzzy inventory with backorder. First, we fuzzify the storing cost a, backorder cost b, cost of placing an order c, total demand r, order quantity q, and shortage quantity s as the triangular fuzzy numbers in the total cost. From these, we can obtain the fuzzy total cost. Using the signed distance method to defuzzify, we get the estimate of the total cost in the fuzzy sense. Two special cases of the optimal solutions on fuzzifying the storage quantity and order quantity as triangular fuzzy numbers will be treated numerically by the Nedler-Mead algorithm.
Relation:	JOURNAL OF INFORMATION SCIENCE AND ENGINEERING v.21 n.4 Pages: 673-694
Appears in Collections:	[Department of Applied Mathematics] journal articles

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